The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.

... Python. Shital Dhakal is a seasoned GIS professional with over seven years' experience in the field of GIS and remote sensing. He has acquired industry and research experience in North America, Europe ... searching. for. authors. like. you.

Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Data Mining and Predictive Analytics: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, ...

About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library.

... Python library [ 27 ] . A common point of the approaches presented in this chapter is that they use as input a set ... European Union H2020 program ( grant number 826421 , project TVB - Cloud ) . References 1. Goodfellow I , Bengio ...

Practitioners in these and related fields will find this book perfect for self-study as well.

The goal of this book is to teach you to think like a computer scientist.

Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study.

With this book, you'll be able to create fast and reliable data science API backends using practical examples. This book starts with the basics of the FastAPI framework and associated modern Python programming language concepts.